01.11.2026 aktualisiert
AR
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Product Lead Search & Recommendation | AI
Berlin, Deutschland
Berlin +100 km
Magister Artium in Spanish Philology, English Philology, and Psychology - Universität PotsdamSkills
Business-CoachingFührungskompetenzInformation RetrievalFührungsverantwortungFührungsstileRecommendersystemeSuchtechnologienProduktstrategienCoaching und Mentoring
AI-powered Search & Retrieval Systems
Expertise in designing and implementing AI-powered neural search architectures, including information retrieval systems and recommendation engines across large-scale e-commerce platforms.
Neural Search & Ranking Optimization
Deep knowledge in neural search architecture, relevance optimization, and ranking systems, with proven impact such as reducing zero-result searches by 80% and increasing search interaction rates.
Product Strategy for Discovery and Recommendation Systems
Ownership of product strategy and roadmap for onsite search and recommendation systems, including driving AI adoption in discovery systems and increasing revenue share from product recommendations by 30%.
Relevance Metrics & Evaluation Frameworks
Development and ownership of evaluation frameworks for onsite search quality, defining relevance metrics and experimentation standards.
A/B Testing & Experimentation Strategy
Design and execution of A/B testing and experimentation strategies to measure and improve search and recommendation performance.
Search Quality Diagnostics
Proficiency in diagnosing search quality issues including query intent analysis and ranking failure identification.
Cross-functional Leadership
Leadership of cross-functional teams spanning product and analytics, building and managing teams of 8-12 search analysts and relevance specialists.
KPI & Dashboard Design
Design of KPI systems for measuring retrieval effectiveness and user interaction, enabling data-driven decision-making.
Stakeholder Management
Acting as a strategic interface between local markets and central tech teams, partnering with Search Engineering, Product, and Data Science.
SQL and BigQuery
Practical knowledge of SQL and BigQuery for data analysis and analytics tasks.
Expertise in designing and implementing AI-powered neural search architectures, including information retrieval systems and recommendation engines across large-scale e-commerce platforms.
Neural Search & Ranking Optimization
Deep knowledge in neural search architecture, relevance optimization, and ranking systems, with proven impact such as reducing zero-result searches by 80% and increasing search interaction rates.
Product Strategy for Discovery and Recommendation Systems
Ownership of product strategy and roadmap for onsite search and recommendation systems, including driving AI adoption in discovery systems and increasing revenue share from product recommendations by 30%.
Relevance Metrics & Evaluation Frameworks
Development and ownership of evaluation frameworks for onsite search quality, defining relevance metrics and experimentation standards.
A/B Testing & Experimentation Strategy
Design and execution of A/B testing and experimentation strategies to measure and improve search and recommendation performance.
Search Quality Diagnostics
Proficiency in diagnosing search quality issues including query intent analysis and ranking failure identification.
Cross-functional Leadership
Leadership of cross-functional teams spanning product and analytics, building and managing teams of 8-12 search analysts and relevance specialists.
KPI & Dashboard Design
Design of KPI systems for measuring retrieval effectiveness and user interaction, enabling data-driven decision-making.
Stakeholder Management
Acting as a strategic interface between local markets and central tech teams, partnering with Search Engineering, Product, and Data Science.
SQL and BigQuery
Practical knowledge of SQL and BigQuery for data analysis and analytics tasks.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2026
Sprachen
DeutschMutterspracheEnglischverhandlungssicherSpanischgut
Projekthistorie
Lead Search & Recommendation for Europe's largest online pharmacy across six markets. Owned product strategy and roadmap for onsite search and recommendation systems, led cross-functional team spanning product and analytics, drove AI adoption in discovery systems. Implemented AI-powered neural search architecture, reduced zero-result searches by 80%, increased revenue share from product recommendations by 30%, and introduced structured product strategy, role clarity, and scalable operating model.
Led search quality and relevance optimization for one of Europe's largest fashion e-commerce platforms. Built and led a team of 8-12 search analysts and relevance specialists, owned evaluation frameworks for onsite search quality, defined relevance metrics and experimentation standards, and partnered with Search Engineering, Product, and Data Science. Built search quality team from scratch, designed KPI system for measuring retrieval effectiveness and user interaction, increased search interaction rate by up to 10% YoY, contributed to introducing Semantic Search, and contributed to establishing hiring standards and role definition within the analytics community.
Led CRO and content optimization team for Spanish, Italian, and Polish markets. Acted as a strategic interface between local markets and central tech teams.